Bioinformatics/psychiatric genetics PhD candidate @CompMedUCLA | @ucla CompBio+Math alum | Here mainly for science + NBA twitter & geography memes. (he/him)

Los Angeles, CA
Joined November 2014
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Aditya Pimplaskar retweeted
A new preprint from Gerdes et al. reports an exome-wide association study of serious mental illness in ~42,000 individuals from the Paisa, a founder population in Colombia. A deep dive below on why it fills a gap population-scale sequencing never could.
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Aditya Pimplaskar retweeted
Concerned about the AI slop heading to ICLR ? The @uclaNLP submissions will be safe. They are currently being handtyped by artisanal young researchers in a small-batch facility in the western lowlands of Los Angeles.
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Replying to @sbsbruinsociety
Are you sitting 7 seats to my right??
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Aditya Pimplaskar retweeted
UCLA WINS ITS FIRST NCAA NATIONAL TITLE IN PROGRAM HISTORY 🏆
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Aditya Pimplaskar retweeted
Interpretability has not kept up with scaling LLMs at all, especially for *knowledge*. But here's a wild idea: using cross-lingual knowledge inconsistency (typically seen as a "bug") as a tool for dissecting where knowledge lives 🧵1/4 arxiv.org/abs/2603.17102 @GoogleResearch
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Excited to see our work in AJHG! Thank you to our amazing co-authors, UCLA Institute for Precision Health, UCLA CTSI, and our collaborators for the support with this work. Above all, we are grateful to the patients and ATLAS biobank participants at @UCLAHealth.
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Aditya Pimplaskar retweeted
"An hour of planning can save you 10 hours of doing." ✨📝 Planned Diffusion 📝 ✨ makes a plan before parallel dLLM generation. Planned Diffusion runs 1.2-1.8× faster than autoregressive and an order of magnitude faster than diffusion, while staying within 0.9–5% AR quality.
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Would love to connect/discuss projects w/ folks interested in EHR-based phenotyping methods for genetic studies, psychiatric genetics, and perinatal health! #ASHG25
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Excited to visit Boston for #ASHG25. I’ll be presenting our work on the effects of recruitment bias in biobank studies on Friday (10/17) @ board 1126 — please drop by and say hi!
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Replying to @Hyunkyungkim_
See you in Boston! Excited to hear about your work
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Aditya Pimplaskar retweeted
🔦Adaptive Parallel Decoding (APD) has been accepted as a spotlight paper at @NeurIPSConf ! I thank my collaborators, reviewers, and program organizers for this honor. A thread for those interested 🧵 (1/n)
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Aditya Pimplaskar retweeted
Our work on genetic variants that affect RNA stability is out in @NatureGenet! We present the RNAtracker computational pipeline, which can distinguish between transcriptionally- vs. stability-mediated regulation of gene abundance. bit.ly/42aihk2 (1/n)
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linking to the dictionary definition of luddite is such a humza thing to do -- this could never have been written by an LLM (i also love em dashes)
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Aditya Pimplaskar retweeted
📣New from @bpasaniuc & co 📄Exploring #depression treatment response by using #polygenic risk scoring across diverse populations cell.com/ajhg/abstract/S0002…
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Aditya Pimplaskar retweeted
“That’s one small [MASK] for [MASK], a giant [MASK] for mankind.” – [MASK] Armstrong Can autoregressive models predict the next [MASK]? It turns out yes, and quite easily… Introducing MARIA (Masked and Autoregressive Infilling Architecture) arxiv.org/abs/2502.06901
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Aditya Pimplaskar retweeted
Does ambient RNA/DNA confound the genotype-based demultiplex of 10x Multi-ome data? Terence Li @terencewtli, a bioinfo grad student in Noah Zaitlen lab and my lab investigated precisely this question and provided practical recommendations.
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